<i>Rock2</i> heterozygosity improves cognitive behavior and endothelial function in a mouse model of 16p11.2 deletion autism syndrome
Bibliographic record
Abstract
ABSTRACT Rho-associated coiled-coil containing protein kinase-2 (ROCK2) is a critical player in many cellular processes and has been incriminated in cardiovascular and neurological conditions. Recent evidence has shown that non-selective pharmacological ROCK inhibition ameliorates behavioral alterations in an autism mouse model of 16p11.2 haploinsufficiency. We had also revealed that 16p11.2-deficient mice display cerebrovascular abnormalities, including endothelial dysfunction. To investigate whether genetic blockage of ROCK2 also exerts beneficial effects on cognition and angiogenesis, we generated mice with both 16p11.2 and ROCK2 haploinsufficiency ( 16p11.2 df/+ ;Rock2 +/- ). We find that Rock2 heterozygosity on a 16p11.2 df/+ background rescues recognition memory and slightly reduces repetitive behaviors. Furthermore, brain endothelial cells (ECs) isolated from 16p11.2 df/+ ;Rock2 +/- mice display improved angiogenic capacity compared to ECs from 16p11.2 df/+ littermates. Overall, this study implicates Rock2 gene as a critical modulator in 16p11.2-associated alterations, highlighting its potential as a target for treatment of autism spectrum disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".